• DocumentCode
    2420715
  • Title

    Is there any texture in the image?

  • Author

    Karu, Kalle ; Jain, Anil K. ; Bolle, R.M.

  • Author_Institution
    Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    770
  • Abstract
    Texture analysis methods have been used in various image processing tasks, such as image segmentation, recognition, shape analysis, texture synthesis, and image compression. When applying any of these methods, we assume that the input image has some textural characteristics. This paper addresses the problem of deciding whether an image has texture; in other words, whether texture-based methods are suitable for processing the image. We define a texture to have a spatially uniform distribution of local gray-value variations. A fast algorithm for detecting regions that have texture according to this definition is presented. The performance of the method is demonstrated on several synthetic and natural images
  • Keywords
    image segmentation; image texture; image compression; image processing; image recognition; image segmentation; image texture analysis; local gray-value variations; shape analysis; spatially uniform distribution; texture synthesis; Colored noise; Computer science; Data mining; Feature extraction; Image analysis; Image segmentation; Image texture; Image texture analysis; Shape; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546927
  • Filename
    546927